Modeling, analysis, and controllability of a single-actuator differentially-driven robot. - Mohamad Alsalman; Elie A. Shammas; Hadi Salman (AIM, 2015)

A physical parameter-based skidding model for the snakeboard. - Hadi Salman; Tony Dear; Sevag Babikian; Elie A. Shammas; Howie Choset (CDC, 2016)

Multi-Agent Ergodic Coverage with Obstacle Avoidance. - Hadi Salman; Elif Ayvali; Howie Choset (ICAPS, 2017)

Ergodic coverage in constrained environments using stochastic trajectory optimization. - Elif Ayvali; Hadi Salman; Howie Choset (IROS, 2017)

Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery. - Hadi Salman; Elif Ayvali; Rangaprasad Arun Srivatsan; Yifei Ma; Nicolas Zevallos; Rashid Yasin; Long Wang 007; Nabil Simaan; Howie Choset (ICRA, 2018)

Stabilize an Unsupervised Feature Learning for LiDAR-based Place Recognition. - Peng Yin 001; Lingyun Xu; Zhe Liu 022; Lu Li; Hadi Salman; Yuqing He; Weiliang Xu 001; Hesheng Wang 001; Howie Choset (IROS, 2018)

A surgical system for automatic registration, stiffness mapping and dynamic image overlay. - Nicolas Zevallos; Rangaprasad Arun Srivatsan; Hadi Salman; Lu Li; Jianing Qian; Saumya Saxena; Mengyun Xu; Kartik Patath; Howie Choset (ISMR, 2018)

A Real-time Augmented Reality Surgical System for Overlaying Stiffness Information. - Nicolas Zevallos; Arun Srivatsan Rangaprasad; Hadi Salman; Lu Li; Jianing Qian; Saumya Saxena; Mengyun Xu; Kartik Patath; Howie Choset (Robotics: Science and Systems, 2018)

Learning to Sequence Robot Behaviors for Visual Navigation. - Hadi Salman; Puneet Singhal; Tanmay Shankar; Peng Yin 001; Ali Salman; William Paivine; Guillaume Sartoretti; Matthew J. Travers; Howie Choset (CoRR, 2018)

Deep Diffeomorphic Normalizing Flows. - Hadi Salman; Payman Yadollahpour; Tom Fletcher; Kayhan N. Batmanghelich (CoRR, 2018)

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. - Hadi Salman; Jerry Li 001; Ilya P. Razenshteyn; Pengchuan Zhang; Huan Zhang; Sébastien Bubeck; Greg Yang (NeurIPS, 2019)

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. - Hadi Salman; Greg Yang; Huan Zhang 001; Cho-Jui Hsieh; Pengchuan Zhang (NeurIPS, 2019)

A Fine-Grained Spectral Perspective on Neural Networks. - Greg Yang; Hadi Salman (CoRR, 2019)

Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering. - Hadi Salman; Justin Zhan (IEEE BigData, 2020)

Similarity Metric for Millions of Unlabeled Face Images. - Hadi Salman; Justin Zhan (CCWC, 2020)

Randomized Smoothing of All Shapes and Sizes. - Greg Yang; Tony Duan; J. Edward Hu; Hadi Salman; Ilya P. Razenshteyn; Jerry Li 001 (ICML, 2020)

Do Adversarially Robust ImageNet Models Transfer Better? - Hadi Salman; Andrew Ilyas; Logan Engstrom; Ashish Kapoor; Aleksander Madry (NeurIPS, 2020)

Denoised Smoothing: A Provable Defense for Pretrained Classifiers. - Hadi Salman; Mingjie Sun; Greg Yang; Ashish Kapoor; J. Zico Kolter (NeurIPS, 2020)

Black-box Smoothing: A Provable Defense for Pretrained Classifiers. - Hadi Salman; Mingjie Sun; Greg Yang; Ashish Kapoor; J. Zico Kolter (CoRR, 2020)

Improved Image Wasserstein Attacks and Defenses. - J. Edward Hu; Adith Swaminathan; Hadi Salman; Greg Yang (CoRR, 2020)

Unadversarial Examples: Designing Objects for Robust Vision. - Hadi Salman; Andrew Ilyas; Logan Engstrom; Sai Vemprala; Aleksander Madry; Ashish Kapoor (NeurIPS, 2021)

WaveNets: Wavelet Channel Attention Networks. - Hadi Salman; Caleb Parks; Shi Yin Hong; Justin Zhan (IEEE Big Data, 2022)

CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. - Daniel McDuff; Yale Song; Jiyoung Lee; Vibhav Vineet; Sai Vemprala; Nicholas Gyde; Hadi Salman; Shuang Ma; Kwanghoon Sohn; Ashish Kapoor (CLeaR, 2022)

Certified Patch Robustness via Smoothed Vision Transformers. - Hadi Salman; Saachi Jain; Eric Wong 001; Aleksander Madry (CVPR, 2022)

Missingness Bias in Model Debugging. - Saachi Jain; Hadi Salman; Eric Wong 001; Pengchuan Zhang; Vibhav Vineet; Sai Vemprala; Aleksander Madry (ICLR, 2022)

3DB: A Framework for Debugging Computer Vision Models. - Guillaume Leclerc; Hadi Salman; Andrew Ilyas; Sai Vemprala; Logan Engstrom; Vibhav Vineet; Kai Yuanqing Xiao; Pengchuan Zhang; Shibani Santurkar; Greg Yang; Ashish Kapoor; Aleksander Madry (NeurIPS, 2022)

GHM Wavelet Transform for Deep Image Super Resolution. - Benjamin J. Lowe; Hadi Salman; Justin Zhan (CoRR, 2022)

When does Bias Transfer in Transfer Learning? - Hadi Salman; Saachi Jain; Andrew Ilyas; Logan Engstrom; Eric Wong 001; Aleksander Madry (CoRR, 2022)

OrthoNets: Orthogonal Channel Attention Networks. - Hadi Salman; Caleb Parks; Matthew Swan; John Gauch (IEEE Big Data, 2023)

A Data-Based Perspective on Transfer Learning. - Saachi Jain; Hadi Salman; Alaa Khaddaj; Eric Wong 001; Sung Min Park; Aleksander Madry (CVPR, 2023)

FFCV: Accelerating Training by Removing Data Bottlenecks. - Guillaume Leclerc; Andrew Ilyas; Logan Engstrom; Sung Min Park; Hadi Salman; Aleksander Madry (CVPR, 2023)

Rethinking Backdoor Attacks. - Alaa Khaddaj; Guillaume Leclerc; Aleksandar Makelov; Kristian Georgiev; Hadi Salman; Andrew Ilyas; Aleksander Madry (ICML, 2023)

Raising the Cost of Malicious AI-Powered Image Editing. - Hadi Salman; Alaa Khaddaj; Guillaume Leclerc; Andrew Ilyas; Aleksander Madry (ICML, 2023)

The Journey, Not the Destination: How Data Guides Diffusion Models. - Kristian Georgiev; Joshua Vendrow; Hadi Salman; Sung Min Park; Aleksander Madry (CoRR, 2023)

Towards ML Models That We Can Deploy Confidently - Hadi Salman (2023)

Identifying and training deep learning neural networks on biomedical-related datasets. - Alan E. Woessner; Usman Anjum; Hadi Salman; Jacob Lear; Jeffrey T. Turner; Ross Campbell; Laura Beaudry; Justin Zhan; Lawrence E. Cornett; Susan Gauch; Kyle P. Quinn (Briefings Bioinform., 2024)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)